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E-Poster Display

154P - Investigation of PD-L1 expression and tislelizumab efficacy in gastroesophageal adenocarcinoma using a novel tumor and immune cell score with VENTANA PD-L1 (SP263) assay and Combined Positive Score (CPS)

Date

17 Sep 2020

Session

E-Poster Display

Topics

Targeted Therapy

Tumour Site

Presenters

Yee Chao

Citation

Annals of Oncology (2020) 31 (suppl_4): S274-S302. 10.1016/annonc/annonc266

Authors

Y. Chao1, S. Yang2, Y. Zhang2, Z. Shen2, X. Wu3, J. Wang3, M. Quiroz4, A. Nielsen4, C. Liu4, J. Desai5

Author affiliations

  • 1 Medical Oncology, Taipei Veterans General Hospital, 11217 - Taipei/TW
  • 2 Clinical Biomarker, BeiGene (Beijing) Co., Ltd., Beijing/CN
  • 3 Clinical Development, BeiGene (Beijing) Co., Ltd., Beijing/CN
  • 4 Ventana Medical Systems, Inc., Roche Tissue Diagnostics, Tuczon/US
  • 5 Medical Oncology, Peter MacCallum Cancer Centre, 3000 - Melbourne/AU

Resources

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Abstract 154P

Background

Tumor (TC) and immune cell (IC) PD-L1 expression may be associated with anti-PD-1 efficacy in gastroesophageal adenocarcinoma (GEA) and can be assessed via cell counting using the Combined Positive Score (CPS) with the Dako 22C3 assay. However, the CPS scoring method can be challenging to utilize. A novel combined algorithm, Tumor and Immune Cell (TIC) score, was developed for the Ventana SP263 assay to assess TC and IC PD-L1 expression based on tumor area. Associations between CPS and TIC scoring methods, and potential correlations with efficacy, were investigated in patients with GEA from the tislelizumab first-in-human study (NCT02407990).

Methods

PD-L1 expression was evaluated using the Ventana SP263 and Dako 22C3 assays in 74 and 49 patients, respectively. Correlation of PD-L1 TIC scores (% tumor area covered by PD-L1+ TC/IC by SP263) and CPS (by 22C3) with clinical efficacy was assessed. Cases were considered PD-L1+ at ≥5% for TIC or ≥1 for CPS. Analytical validation of TIC was further assessed by reproducibility of results.

Results

Based on statistical analysis and other considerations, TIC ≥5% was determined as the optimal cutoff. Response, prevalence, positive predictive value, and negative predictive value for TIC ≥5% and CPS ≥1 are shown (Table). At a 17.4-month median follow-up, patients with TIC ≥5% or CPS ≥1 showed survival benefit. Inter-reader and -laboratory overall agreement for TIC ≥5% were 99% (95% CI, 98-100) and 96% (95% CI, 94-98), respectively. Table: 154P

Scoring Method (Cut-off) PD-L1 Status BEP ORR (%) PD-L1 Prevalence (%) Response Odds Ratio PPV (%) NPV (%) PFS HR (95% CI) OS HR (95% CI)
TIC (SP263) ≥5% + 38 18.2 51 6.67 15.8 83.3 0.497 (0.298, 0.823) 0.529 (0.295, 0.935)
36 3.2
CPS (22C3) ≥1 + 22 20.0 45 ∞* 18.2 88.9 0.880 (0.474, 1.606) 0.665 (0.339, 1.259)
27 0

*Odds ratio could not be estimated due to no responders in CPS <1. Abbreviations: BEP, biomarker evaluable population; CI, confidence interval; CPS, combined positive score; HR, hazard ratio; NPV, negative predictive value; ORR, objective response rate; OS, overall survival; PFS, progression-free survival; PPV, positive predictive value, TIC, tumor and immune cell.

Conclusions

At evaluated cutoffs, both SP263 TIC and 22C3 CPS assays aided in the identification of patients with GEA likely to benefit from tislelizumab. TIC is a robust, reproducible scoring method. Further clinical validation is underway for TIC ≥5% in patients with gastric and gastroesophageal junction adenocarcinoma from a phase 3 study (NCT03777657).

Clinical trial identification

NCT02407990.

Editorial acknowledgement

Writing and editorial assistance was provided by Agnieszka Laskowski, PhD, and Elizabeth Hermans, PhD (OPEN Health Medical Communications, Chicago. IL), and funded by the study sponsor.

Legal entity responsible for the study

BeiGene, Ltd.

Funding

BeiGene, Ltd.

Disclosure

S. Yang: Shareholder/Stockholder/Stock options, Full/Part-time employment: BeiGene, Ltd.. Y. Zhang: Shareholder/Stockholder/Stock options, Full/Part-time employment: BeiGene, Ltd.. Z. Shen: Shareholder/Stockholder/Stock options, Licensing/Royalties, Full/Part-time employment: BeiGene, Ltd.. X. Wu: Shareholder/Stockholder/Stock options, Full/Part-time employment: BeiGene, Ltd.. J. Wang: Shareholder/Stockholder/Stock options, Full/Part-time employment: BeiGene, Ltd.. M. Quiroz: Full/Part-time employment: Roche Tissue Diagnostics. A. Nielsen: Full/Part-time employment: Roche Tissue Diagnostics. C. Liu: Research grant/Funding (self), Shareholder/Stockholder/Stock options, Licensing/Royalties, Full/Part-time employment: Roche Tissue Diagnostics. J. Desai: Advisory/Consultancy: Amgen; Advisory/Consultancy: Biocon; Advisory/Consultancy: Eisai; Advisory/Consultancy, Research grant/Funding (institution): Lilly; Advisory/Consultancy, Research grant/Funding (institution): BeiGene, Ltd.; Research grant/Funding (institution): AstraZeneca/MedImmune; Research grant/Funding (institution): Bionomics; Research grant/Funding (institution): Bristol-Myers Squibb; Research grant/Funding (institution): GlaxoSmithKline; Research grant/Funding (institution): Novartis; Research grant/Funding (institution): Roche. All other authors have declared no conflicts of interest.

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